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Proceedings Paper

Face recognition based on matching of local features on 3D dynamic range sequences
Author(s): B. Adriana Echeagaray-Patrón; Vitaly Kober
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Paper Abstract

3D face recognition has attracted attention in the last decade due to improvement of technology of 3D image acquisition and its wide range of applications such as access control, surveillance, human-computer interaction and biometric identification systems. Most research on 3D face recognition has focused on analysis of 3D still data. In this work, a new method for face recognition using dynamic 3D range sequences is proposed. Experimental results are presented and discussed using 3D sequences in the presence of pose variation. The performance of the proposed method is compared with that of conventional face recognition algorithms based on descriptors.

Paper Details

Date Published: 28 September 2016
PDF: 6 pages
Proc. SPIE 9971, Applications of Digital Image Processing XXXIX, 997131 (28 September 2016); doi: 10.1117/12.2236355
Show Author Affiliations
B. Adriana Echeagaray-Patrón, Ctr. de Investigación Científica y de Educación Superior de Ensenada B.C. (Mexico)
Vitaly Kober, Ctr. de Investigación Científica y de Educación Superior de Ensenada B.C. (Mexico)
Chelyabinsk State Univ. (Russian Federation)


Published in SPIE Proceedings Vol. 9971:
Applications of Digital Image Processing XXXIX
Andrew G. Tescher, Editor(s)

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